{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "diri = r'C:\\Users\\apbarret\\Documents\\SnowOnSeaIce'\n",
    "cfsr_fili   = 'CFSR.PRECTOT.season.1979to2010.Nof80.nc'\n",
    "merra2_fili = 'MERRA2.PRECTOT.season.1980to2016.Nof80.nc'\n",
    "merra_fili  = 'MERRA.PRECTOT.season.1979to2014.Nof80.nc'\n",
    "erai_fili   = 'ERAI.PRECTOT.season.1979to2015.Nof80.nc'\n",
    "asr_fili    = 'ASR.PRECTOT.season.2000to2012.Nof80.nc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.Dataset>\n",
      "Dimensions:  (time: 36)\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 1979-02-01 1980-02-01 1981-02-01 ...\n",
      "Data variables:\n",
      "    precAnn  (time) float64 193.7 201.2 210.0 211.1 226.5 231.1 190.9 201.5 ...\n",
      "<xarray.Dataset>\n",
      "Dimensions:  (time: 32)\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 1979-02-01 1980-02-01 1981-02-01 ...\n",
      "Data variables:\n",
      "    precAnn  (time) float64 279.4 308.5 323.5 320.5 340.1 355.7 305.2 318.5 ...\n",
      "<xarray.Dataset>\n",
      "Dimensions:  (time: 37)\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 1979-02-01 1980-02-01 1981-02-01 ...\n",
      "Data variables:\n",
      "    precAnn  (time) float64 201.9 226.5 231.6 226.4 241.3 250.8 204.9 222.1 ...\n",
      "<xarray.Dataset>\n",
      "Dimensions:  (time: 13)\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 2000-02-01 2001-02-01 2002-02-01 ...\n",
      "Data variables:\n",
      "    precAnn  (time) float32 271.893 267.903 227.242 225.834 193.267 215.971 ...\n"
     ]
    }
   ],
   "source": [
    "merra2 = xr.open_dataset(os.path.join(diri, merra2_fili))\n",
    "merra  = xr.open_dataset(os.path.join(diri, merra_fili))\n",
    "cfsr   = xr.open_dataset(os.path.join(diri, cfsr_fili))\n",
    "erai   = xr.open_dataset(os.path.join(diri, erai_fili))\n",
    "asr    = xr.open_dataset(os.path.join(diri, asr_fili))\n",
    "\n",
    "print merra\n",
    "print cfsr\n",
    "print erai\n",
    "print asr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xrTE+74stx66C0cVWAe9rreNvVKC1vqWUetVS1s/yObyOMZGXryU9pfWD00RrfUIp9SPG\nesNCCGGSlk0hhEho1ZyZUibLJDjrMMZgdcrkOiU99yyMFtX/MLr89sJowWiGjck9tNb/WOp4FHgG\neAXjx/bjGAFUtmOZFfQxjJlsr2KMkx2KUefbGN0w1yYpMwrogPFadMQYP9YGI3i0Xr4mNb0wloTp\nhBH0OmGsndndeimOFOp+DON9uYLxg3ssiVvpXgEmYLTuDbTUcQXQFBtj+SxLcXTFmBG3J/CJ5Xgp\nduHWWi/F+EysspxjOEYwMh1jrcX7GpuXUVrrOODdFPZfB5oAX2BMFjUU47p3AW211tPu47TjMK67\nPMYyNmNJGHttV1nxultew/YYfwdHMT4fwzBmZV4FtNFaf2uj3BKMv6vNGNf/FsYNlaFA77R8vtNo\nDBkc3yyEyHmU/b5j7Ecp9TwJd5Jf1Vrf8wNQKdUU4252Y4z/vE9h/FCYYr1eVpIyL2L8J18VYyzH\nPuBLrfUKu1+EEEKIbE8p5Qc8prVWjq6LEEIIkdNku5ZNpVRpYCrG4s7J5emCcYeuBbDYkt8V+AZj\nGm5bZb7E6MZTHGOMzDyM7jzLlVKD7HcFQgghhBBCCCGyVcumUkphdJEqB/yF0Q0lUcumZebF0xjj\nXZpprf0t6e4Ys641AfporRdYlWkKbAXOAA201jcs6WUxZp70BCqnY504IYQQOYC0bAohhBCZJ7u1\nbL4NPAH0A+4mk6cHxvTeC+IDTQCtdQRGt1qAN5KUGWB5Hh8faFrKBALfY0wn3i+jlRdCCCGEEEII\nYcg2waZSqgrGlNnfWtZsSs4Tlud/bOzbjLFWV1OllJtVekpl/k6SRwghxENCa91SWjWFEEKIzJEt\ngk3Lose/YEwV/mEq2X0tzyeT7rAsQ3AWY0kXH8uxPYGSwB2t9WUbxztleba1KLoQQgghhBBCiPuQ\nXdbZ/BioAzTXWoenkje/5fmeqeKTpBe4z/yJKKVeA14D8PT0rFe5cuVUqieEEEIIIYQQOdOePXuu\naq0LpyWvw4NNpVQjjNbMr7TW2x1dn6S01j8CPwLUr19f+/v7p1JCCCGEEEIIIXImpdS5tOZ1aDda\nS/fZnzG6xI5KY7H4lsj8yeyPT49f5Dy9+YUQQgghhBBCZJCjx2zmwRgrWQWIUErp+Acw2pJnhiVt\nsmX7hOX5njGWluC1HBADBABore8Cl4A8SqniNupQ0fJ8zxhQIYQQQgghhBD3x9HdaCOBn5LZVxdj\nHOcWjAAzvovtBuA5oC3wW5IyLYDcwGatdaRV+gagr6XM7CRl2lnlEUIIIYQQQghhB0pr7eg62KSU\nGoPRuvmq1nqmVXo+4AyQD2gWv9amUsodI2BsAvTRWi+wKtMU2Gop1yB+rU2lVFlgD+AJVLasu5ks\nGbMphBBCCCGEeJgppfZoreunJa+jWzbTTWt9Syn1KvAH4KeUWgBcBzpjLIvyB7AwSZltSqmvgaHA\nQaXUH4Ar8AzgBbyVWqAphBBCCCGEECLtHrhgE0BrvUQp9RjwEdAdcAdOYwST32kbzbVa62FKqUPA\nQIylTOKAvcAkrfWKLKu8EEIIIYQQQjwEsm032uxIutEKIYQQQgghHmbp6Ubr6NlohRBCCCGEEELk\nQBJsCiGEEEIIIYSwOwk2hRBCCCGEEELYnQSbQgghhBBCCCHsToJNIYQQQgghhBB2J8GmEEIIIYQQ\nQgi7k2BTCCGEEEIIIYTdSbAphBBCCCGEEMLuJNgUQgghhBBCCGF3EmwKIYQQQgghhLA7CTaFEEII\nIYQQQtidBJtCCCGEEEIIIexOgk0hhBBCCCGEEHYnwaYQQgghhBBCCLuTYFMIIYQQQgghhN1JsCmE\nEBmktebyncvcjb7r6KoIIYQQQmQbLo6ugBBCPGhi4mI4fv04e4L2sDdoL3uD93Iz8iZOyokKBSpQ\nu3BtahepTa3CtSidtzRKKUdXWQghhBAiy0mwKYQQqYiIieDQ1UNmcHkg5ABhMWH35IvTcZy8cZKT\nN06y6OQiALzcvahZuKYZgFYrVA13F/esvgQhhBBCiCwnwaYQQiRxO+o2+4P3G8Fl8F4OXz1MdFx0\nimXy5srL3Zi7xOm4ROnXI67jd8EPvwt+ALgoFyp7VTZbPmsXqU0xz2KZdSlCCCGEEA6jtNaOrsMD\no379+trf39/R1RBC2NnV8Ktmd9g9QXs4eePkPUFjUsU8i1G3SF3qFa1HvaL1KJe/HOEx4Ry6eoj9\nwfs5EHKAAyEHuB11O9XzF8ldJFHX2ypeVcjlnMtelyeEEEIIYTdKqT1a6/ppyivBZtpJsClEznAt\n/Bpb/9vK3iAjuAy8FZhqmbL5ypqBZb2i9SiRp0SqZeJ0HIGhgewP2W8GoAGhAamWc3N2o2qhqtQv\nWp9nqzyLt4d3Wi5LCCGEECLTSbCZSSTYFOLBd/7WeXqv6M3t6ORbHJ2UE74Ffc3Ask6ROhTyKGSX\n84dGhnIw5CD7Q4zg81DIIZvjP+MVci/El499Sf1iafpOF0IIIYTIVBJsZhIJNoV48L294W02XtiY\nKC2XUy5qeNegXtF61C1al9qFa5PHNU+W1CcmLobTN09zIPiAGYBeuH0hUR5n5cyQekN4oeoLMrOt\nEEIIIRxKgs1MIsGmEA+2nZd30n9Nf3P7jVpv0Kh4I6p7V8fN2c2BNUvsavhVdl7eyRe7v+B6xHUz\n/clHnmRss7F45vJ0YO2EEEII8TBLT7DplNmVEUKI7CA2LpYvdn9hbncu35k3a79JvaL1slWgCeDt\n4U0Hnw4s7LiQmt41zfS159bSZ2UfAm6mPu5TCCGEEMLRJNgUQjwUFp9ezMkbJwHwcPHgnbrvOLhG\nqSvmWYzZbWfzjO8zZtrZ0LP0WdmH1YGrHVgzIYQQQojUSbAphMjx7kTdYcq+Keb2y9VfpkjuIg6s\nUdq5OrsysvFIJjSfgLuzOwBhMWEM3zScSbsnpbr+pxBCCCGEo0iwKYTI8WYcmmGOfSzmWYwXq73o\n4BqlX6fynZjXfh6l85Y2034++jP9V/fnavhVB9bMfkIjQ/nw3w/5aMtH3Iy46ejqCCGEECKDJNgU\nQuRoF25f4Jejv5jbg+sOxsPFw4E1un++Xr4s6LiAlqVamml7g/fSa3kv9gbtdVzF7EBrzcdbP2Z5\nwHKWnVnGYL/BRMdKq60QQgjxIJPZaNNBZqMV4sEz1G8oa8+tBaBm4ZrMazfvgV8+JE7H8dOhn5i6\nfypxOg4AF+XCsPrDeK7Kcw/k9a0KWMV7/76XKK1bxW6MaTLmgbweIURi1yOucy38GlGxUUTGRiZ6\nWKdFxUYRERthppn7Yiz54xLSPFw8GFR7ELWL1Hb05QnxUEnPbLQumV0ZIYRwFP8r/magCTCiwYgc\nEbg4KSderfkq1byr8d7m97gZeZMYHcPnuz/nQMgBPmn6Cblz5XZ0NdPsavhVJuyacE/6X6f+okKB\nCvSt2tcBtRJC2MuiE4sYu2Nsphw7MDSQVd1W4ersminHF0JkjHSjFULkSHE6LtFSJ+3LtadW4VoO\nrJH9NS3RlEUdF1G9UHUz7Z/Af3h25bOcDT3rwJqlndaacTvGERoZCkBxz+K0K9vO3P+l/5f8e/Ff\nR1VPCJFBZ26e4fNdn2fa8YPCglhyekmmHV8IkTHSjTYdpButEA+OJaeXMGrrKADcnd1Z3nU5xTyL\nObhWmSMqNorPdn3G7yd/N9M8c3kyrtk4Wj/S2oE1S90/Z//h3c3vmts/PvkjdYvW5ZXVr3Ag5AAA\neXLlYX77+fgU8HFUNYUQ9yEmLoa+q/py+NphAAq6FaR4nuK4Obvh6uyKm7Ob+W93Z3czLem++H9b\nb2/9byuzD88GoGjuotK6KUQWSk83Wgk200GCTZFW18KvMXHXRA5fPcx7Dd7j8TKPO7pKD5Ww6DA6\nLO5gztI6oNYABtYe6OBaZb4lp5cwbsc4ImMjzbR+1frxdt23cXHKfqMmroVf4+mlT3Mz0ph5tkel\nHoxuMhowutb2WdmHK3evAFA6b2l+bf8rBdwLOKy+Qoj0mXFwBt/t+w6AXE65WNRxERUKVrDLscOi\nw2j3VztzpvGRjUbyTOVnUiklhLCH9ASb2aIbrVLqc6XUeqXUBaVUuFLqulJqn1JqtFKqUJK8ZZVS\nOoXHghTO86JSapdS6o5SKlQp5aeU6pj5VygeJrsu76LH8h6sDlzNpTuXGLtjrKyFmMVmHpppBppF\nPIrQr1o/B9coazxd4WnmtZ9HyTwlzbTZR2bz2trXst3yKFprxu8cbwaaxT2LM6zeMHO/t4c3U56Y\nYs4cfOH2BYZuGip/S0I8IE5cP8G0A9PM7YG1B9ot0ATInSs3L1d/2dyecWgGUbFRdju+EMI+skWw\nCQwBPIG1wLfAfCAGGAMcVEqVtlHmAPCJjccftk6glPoSmAMUB2YA84AawHKl1CD7XYp4WMXGxfLD\n/h94de2riX7Yh4SHsOH8BgfW7OHy353/+Pnoz+b2O/XeeaAmy8moyl6VWdhxIS1KtTDTdl/ZzTPL\nn2F/8H4H1iyx1edWJ5q8aUzTMeRxzZMoT2WvykxsPtHc3n1lNxN3TkR65AiRvUXHRTNy60hi4mIA\nqOldM1PWN+7l2wsvdy/AGLu5+NRiu59DCJEx2SXYzKe1bqy1fllr/b7W+i2tdQNgAlAC+MBGmf1a\n6zE2HvcEm0qppsAw4AxQU2s9RGs9EKgHXAe+VEqVzayLEzlfSFgIr619jWkHpplLUSgSZj1dcDzZ\nBndhZ5P3TDa7kVYrVI2OPg9f54X8bvmZ8sQUBtYeaH4Og8OD6fdPP347/puDa2d0n52wI2H22e4V\nu9O0RFObeVs90oq36rxlbv9+8vdscQ1CiOTNODiD49ePA+Dm7MbY5mMzpSu/h4uHtG4Kkc1li2BT\nax2RzK5FlueKGTzFAMvzeK31DavzBgLfA27Aw9HPTtjdtkvb6LG8B7uu7DLTGhRrwG8dfsNZOQPg\nH+TP6RunHVXFh8b+4P38Hfi3uT2iwQicVLb4mstyTsqJAbUG8EPrH8jvlh+AGB3DhJ0TmHV4lkPr\nNmHnBG5EGl/FxTyLMbz+8BTzv1rjVdqXa29uf7H7C7b9ty1T6yiEuD9Hrx1lxsEZ5vZbdd7CJ3/m\nTe6VtHXzr1N/Zdq5hBDpl91/hXWyPB+0sa+EUup1pdSHlueaKRznCcvzPzb2/Z0kjxBpEhMXw3d7\nv2PAugHmBAUKxYBaA5jx5AyqeVfjiTIJH6sFJ6R1MzMlXeqkTdk21C1a14E1yh6alWzGwo4LqVqo\nqpn2zZ5vHNbavjpwNWvOrTG3xzS5t/tsUkopPmn6CTW8awAQq2MZ7jf8gVneRYiHRVRsFB9t+YgY\nbXSfrVOkDs9XeT5Tzymtm0Jkb9kq2FRKDVdKjVFKfaOU+hcYixFofmYj+5PAdGC85fmAUmqjUqpM\nkmN6AiWBO1rryzaOc8ryXMle1yFyvit3r/DK6leYcWgGGmP8mLeHNzOemsHA2gNxdjJaNHv79jbL\nLD+znDtRdxxS34fByoCVHLp6CABXJ1eG1Bvi4BplHyXzlGRu27k0LNbQTBu/czxLTy/N0npcj7jO\n+B3jze1uFbvRrGSzNJV1d3Hn28e/pUjuIgDcjr7N2xveNtfnFEI43vQD0zl90+jF4+7szrhm48z/\nDzNTL99eFHI35pMMDguW1k0hspFsFWwCw4HRwGCgOUZL5FNa6xCrPGEYQWg9oKDl8RiwEWgJrLcE\nmPHyW56T+0USn25zPn2l1GtKKX+llH9ISIitLOIhs/niZnou78ne4L1mWpPiTfi90+80KNqQw5dC\n+X7jaXpN387oRREUz10WgLCYMJYHLHdQrXO2sOgwJu+dbG6/UO2FRDOyJvX3oct8v/E0N8Menrvf\n7i7ufPfEd9QsnNAJ5ONtH7M6cHWW1cG6+2zR3EVT7T6bVOHchZnyxBTcnd0BCLwVyPBNw81JSLJK\nbFwsETHJjf4Q4uF0+Ophfjr8k7k9uN5gyuQrk0IJ+5HWTSGyr2wVbGqti2mtFVAM6Ab4APuUUnWt\n8gRrrT/WWu/VWt+0PDYDTwE7gQpAfzvW6UetdX2tdf3ChQvb67DiARQdF81X/l8xcP1Ac7kGJ+XE\nq9UG0q4h8VVCAAAgAElEQVTwKCYsv0jDCevpOGULk1afYFfgdY5dvk1oUMIyRAuPL5SZNDPB3CNz\nCQ4LBqCQeyH610j+K2BnwDXemL+XSatP0GP6di6HhmdVNR3OM5cn01pNo7JXZcDoevz+5vfZfHFz\npp97TeCaRIHtmKZjyOuaN93HqVqoKuOajzO3d1zekaj7dGaKiIngp0M/0WJhC1osbMGC4wvk71kI\nIDI2ko+2fGROkNegWAP6VO6TpXXo6dszUevmn6f+zNLzCyFsy1bBZjytdZDWejFGAFkI+DmVImit\nY4CZls0WVrviWy7zY1t8+s37qKp4SFy6c4mX/n6JOUfmmGm5nbwodncI3/xZmiELD/LX3ktcvRN5\nT9mg/6rj7mysFXgm9Az+Qf5ZVe2HwpW7VxJNePN23bfxzOWZbP6Fuy+Y/z4dfIceP2wnIOTh6d6c\n3y0//3vyf5TLXw4wJg0asnEIOy/vzLRz3oi4wfidCd1nu1boSvOSze/7eG3KtuHNWm+a278d/41F\nJxalUCJjYuJi+PPkn3RY3IHJeydzK+oW4THhjN85nlFbR5mzHwvxsPp+3/cEhAYARivjp00/zfLJ\n2ZK2bs48NFP+NoXIBrJlsBlPa30OOApUU0p5p6FIfD9X85em1voucAnIo5QqbqNM/Ey3JzNSV5Fz\nrT+3nh7LenLwasI8VTF3fAk+PpAT5wqTtGHDy9OVp2uXoG4ZS8/sOHfKuifc/5BlG+zru73fERFr\ndGms7FWZLuW7JJs3LCqGf45cSZR26WY4Padv5/Clh2fsn5e7FzOenGF2NY6Ki+KtDW9l2jqcE3ZO\nMCfRKpK7CMMbpK/7rC0Dag2gTdk2ic5h74BZa8368+vptqwbY7aPMVvPrS09s5QX/36Ry3dsTQkg\nRM63P3h/ohuxw+sPp1TeUonyaK3ZduYqe8/fIDo2LtPq0su3F94exs9FGbspRPaQrYNNixKW59g0\n5G1seQ5Ikr7B8tzWRpl2SfIIQUxsHNsCrtDz9xEM9hvMnejbAGjtRERQe8IvvIiONe5pOCmoW6YA\nQ5+sxNKBzfD/qDWTe9fh5eblzONd/y+hK+2G8xsIuhuUtReUQx0KOZRoHOyIBiNSnIxizZEgwqKM\nr5Iied3wyGXkvXY3ij4/7mBnwLXMrXA2UtSzKDOfmmlOuBMeE86b697k2LVjdj3P2nNr+ScwYSLw\n0U1Gk881X4aPq5RibLOx5iy7sTqWoX5DOX/rfIaPDbAnaA99/+7L4I2DE8166+3hzchGI+lcvrOZ\nduTaEZ5Z8Qy7Lu+ydSghcqzwmHBGbh1pTpTXuHhjelbqmSiP1pr3/jzIszN20m3aNmp9soa+P+3k\n+42n8Q+8TlSM/YJPdxd3ad0UIptRjh5vopSqBARprUOTpDthTAT0IbBNa93Mkl4X2K+1jkuSvxWw\nEmPNzGZa621W+5oCW4EzQIP4tTaVUmWBPRgtoZUt624mq379+trfX7pA5lRXQiPYdDIYvxMhbAk8\nTqz3Lzh7XDL3x0UVIPzSs8RFlKFwXjceq1SYlr6FaV7BmwK5Xe853p3IGOqOXWv+R9qk2UIOX98H\nwBu13uDN2m/eU0akndaaF/5+gf0hRmtcqzKtmPz45BTLvDhrF5tOGh0g3m3jS2MfL/rN3s2tCGOC\nGTcXJ75/ti6tqxbN3MpnI2dDz/LSPy+ZLY8F3Qoyu+1syhcon+Fj34i4wdNLnzaP3aV8l0TjLe0h\n6G4QfVb2ISTceF/L5S/HvPbz7jugPXXjFN/u/ZZNFzclSvfM5cnL1V/m+SrPkztXbrTWLDixgC92\nfWEu8+CsnBlabyh9q/ZFKZWxCxPiAfD5rs+Zd2weYPyNLO68mOJ5Encim7stkNHLjiR7DPdcTtR7\npCCNyxWikU8hapXOj5vL/c9gGxETQbu/2nE1/CoAHzT8gGerPHvfxxNC3EsptUdrXT/1nNkj2BwM\nTAS2AGeBa0BRjBlmfYArQCut9VFLfj+Mrq/bgIuWw9QkYZ3MUVrre37NKKW+AoZayvwBuALPYIwJ\nfUtrPTW1ukqwmTPFxWm+WnuCH/zOEKfBJe9B3Iv/iXJOuBsae7saVXP15wnfsjxWqTBVi+dL04/J\n/nN3s+6Y0fWu52PX+Cd4EgCFPQqzusdqcjnlypyLegj8c/Yf3t38LgAuTi4s67KM0vlKJ5s/5HYk\njSasI87ylffviMcp7ZWbY5dv8cKsXYTcNt5vZyfFlz1r0rVOqWSPldOcuH6Cl1e/zK2oW4Dx+Zzb\ndm6Kr2dajNg8gr/PGksZF/EowuKnF9ulVTOpQyGH6Le6n9mC0axEM6a2moqLk0uaj3H5zmW+3/89\ny84sM1tpAHI55aJ35d68WuNVCroXvKfcnqA9DPMbxrWIhFbx9uXaM6bpGDxcPDJwVUJkb7uv7Obl\n1QmtiJ80/YRuFbslyrMz4BrPzdxJjOWLN5+7i3lzLzluLk7ULVOQRj5eNPYpRO3SBXDPlb7g85ej\nv5gThxXxKMKq7qtwc3ZL1zGEEMl70ILN6sAAjKVOSmEsQXIXYwzlSuA7rfV1q/yvAF2B6oA3kAsI\nArYDU7XW/6ZwrpeAgUBVIA7YC0zSWq9IS10l2Mx5bkdEM2ThfiMgVNG4FV2Ba8GEcV9OuNCp9Ou8\n2+Rl8nvc23qZmkX+FxjxhzHWs06ZvIR6jzFbYCY9Nom2ZW317BapiYiJoPOSzly+a4yT61etH0Pr\nD02xzE9bzjJ2xVEAGpbzYtHrTcx9567dpe9Puzh/PcxMG92pKv2albvnODnVoZBD9F/Tn7AY4zUo\n4VmCue3mUsyz2H0db/259Qz2G2xuf9/qe1qUapFCiYxZFbCK9/59z9x+vsrzvNfwvRRKGG5G3GTm\noZn8dvw3ouISlkpQKDr6dGRgnYEpLqMDRuvqUL+hicZ1+xb0ZfLjk+8ZuyZEThAWHUb3Zd25eMe4\n59+8ZHOmtZqW6CbsfzfD6Tx1C1fvGH9XtUrlZ+HrTbh2N4qdAdfYEXCNnWevc+5amM1zxHN1caJO\n6QI08ilEYx8v6pYpmGrwKa2bQmSuByrYfJBIsJmznL8WRv+fd3My6A4q1zU8Sv2Cs3vC5DGl8pTi\ny5ZfUq1Qtfs+x/W7UTQYv45Yy13dgV3P8PPxGQDUK1qPOW3nZOgaHlY/HvyRKfumAMZkNyu6rkh1\nGY1OU7ZwyDIJ0MRuNejTMPH6b8G3Iuj70y5OBN02095uVZEhrSs+NF0id1/ZzRvr3jBbCMvmK8vs\ntrPNCTfS6mbETbos7WJ2n+1cvjPjm49PpVTGTdk3hR8P/mhuj2kyhu6VutvMGx4Tzvxj85l1aBa3\no28n2vdoyUd5p+47+Hr5pvncUbFRTNw1kT9O/mGm5XPNx6QWk2hasmk6r0SI7G3cjnEsPLEQgLyu\neVnceTFFPROGH0REx/LM/7Zz4KLxneudx5Vlg5pTosC9rf2XQ8PZGXCdnWevsSPgOmev3k3x3K7O\nTtQqnZ/GPoVoUr4QTXwK2fyOnnd0Hp/v/hyQ1k0h7C09weaDMEGQEHa3/cw1uny/hZNBd3Byu0zu\nsj8kCjTblG3Dok6LMhRogjEzbcOyXua2Z3RzXJTRtW9P0B5O3pBJkNMrJCyEmYdmmtsDaw9MNdA8\nHXzbDDRdnZ1oX/3eiamL5HNn0etNEmYRBr5bf4oxy44QF/dw3JRrUKwBkx+fbHY/DbwVyGtrXyM0\nMn0z9U7cNdEMNAt7FGZEgxF2r6stA2sPpHWZ1ub2uB3j2H1ld6I8MXEx/HHyDzr+1ZFv936bKNCs\n4V2DWW1mMa31tHQFmgCuzq6MbjKaMU3GmN3jb0XdYsC6Acw8NFPW4xQ5xo7LO8xAE4xWQ+tAU2vN\nqCWHzUDTxUnx/bN1bQaaAMXze/B0nZJM7FaTjcNbsvPDVnzbuzbPNiqDT+F7l7GKio1jd+ANpmw4\nzbMzdjImmfGgPSr1SJiZNjw40Y0gIUTWkWBTPHR+2XGOvj/t5EZYNE4e58j9yI84uRjrLLo6uTKq\n8SgmtZh0XwvO29K2ekI3xG3Ho3mizBPmdmauDZhTfbfvO8JjwgGoWLDiPWOEbFm8L2Gip1ZVipA/\nt+2xsvlz52Je/0a0qFTYTJu7/RxDF+3P1On6s5PmJZvzZYsvcVZGN7VTN04xYO0A7kSlbS3S9efX\ns+rsKnP74yYfk98tuWWO7ctJOTG++Xgqe1UGjDVEh/oN5cLtC8YyJufW03VpVz7Z/gnB4QnLmJTN\nV5ZvWn7D/PbzaVCsQYbq0L1Sd+a0nWPO8qvRfLv3W4ZtGsbd6JRbbITI7u5E3eHjrR+b2y1Lt6Sj\nT8dEeebtPM/vey6a2yM7VKGRT6E0n6NoPne61C7JhK412DCsJbs+asWUPnV4vnEZKhbJc0/++TvP\nE3Qr4p50dxd3Xqn+irn906GfZGZaIRxAgk3x0IiOjWPkkkOMWnKYmDiNs+cpPMv8hHI2Ape8ufIy\ns81Mevn2smu3yaeqJdzx3RFwjY5lE7r1LT+zPM0/4gUcvXaUpaeXmtvv1n831Ulg4uI0S/b9Z24/\nXSfl8Xe5XV2Y+UJ9OtZMaP1csv8/Xv9lD+FRaVmB6cHX6pFWjG02FoXxd3D42mEGbRhkBvnJCY0M\nZez2seZ2J59OtCzdMjOreo/cuXIz5YkpFHI3ftzejLzJoPWDeP7v5xnsN5jAW4Fm3sIehfm4yccs\n7rKY1o+0ttvffc3CNVnYcSF1i9Q109aeW8tzK5/j3K1zdjmHEI7wpf+X5lj5/G75Gd1kdKK/m92B\n1/nEqqWxW92SvNi0bIbOWSSvO51qlWDc0zVYO/Qx/Ee2ZtpzdfEtatwQjonTzNth+++qR6UeFPYw\nbh6GhIdI66YQDiDBpngo3LgbxQs/7WLeDmMNPpe8h8ldei44GRMXeLl7MavtLOoUqWP3cxfP70Gt\n0kbXzJg4zbWrpalQoAIAYTFhLDuzzO7nzIm01nyx+wtzptCWpVrSpESTVEqB/7kbXLppBEn5PXLR\n0rdwKiWMCSm+7V2HZxsljOvccDyYF2btJDQ8+j6v4MHSqXwnRjYeaW7vCdrDkI1DiIqNSrbMxF0T\nzVlZC3sUTtMEPZmhmGcxvn3iW1ydjEm9AkIDOBiSMHlPnlx5eKfuO6zstpKelXqma9batPL28GZm\nm5k8WzlhUpIzoWfos6IPmy5sSqGkENnTlktb+PPUn+b2R40+SjSe+0poBG/M22vOPFu9ZD4mdK1h\n9zHv3nncaF+jOINbVzTT5u88T0T0vTcD3V3ceaWGtG6KB9PtiOgcMQRDgk2R450Muk2X77eyPcD4\nEeyS3x+PUvNBGdOvF/Msxty2c82ud5mhbbWErrSrjwbxjO8z5vbCEwtzxJdJZlt3fh17gvYA4KJc\nGFZ/WJrKLd6X0J2rY83iaV6/zdlJMf7p6gx6vIKZtjvwBn1+3GEuk5JZomPj2BFwjY0ngrkTmfIy\nAZmpl28vhtcfbm5v/W8r7256l+i4ewPuDec3sDJgpbmdld1nbalVuBZjmo5JlJbLKRcvVH2Bv7v9\nTf8a/TN9aZJcTrn4oNEHjG8+3pyY5Hb0bQZtGMQPB34gTj8cXbNt0Vrz9Z6v6b6sO8vPLHd0dUQq\nbkXdYvS20eb2k488mWg29ciYWN6Yv4erd4zvRi9PV6Y/Xy/dS5akx5NVi1LSMg70+t0olu3/z2a+\n7hW7S+umeCB98Nch2k7+l7/2Xnygh/JIsClytPXHgug2bZu5pEWuglvwKPEHWFrHyuYryy/tfqFs\n/rKZWo82Vl1pN58MoVXpduR2yQ0YrS5JJzERiUXFRvGV/1fmdu/KvdP0nkVEx7Li4GVzu2sqXWiT\nUkoxvI0vIztUMdOOXr5Fz+nbuHA95en60+tyaDi/7TrP67/4U+fTtfT+cQf9Zu+m5aSN/LLjnMP+\no3mx2ou8WftNc3vDhQ2M3DKS2LiEVoTQyFDG7kjoPtvRp2OWd5+1pVP5TnzQ8AMeyfcIT1d4mhVd\nV/Bug3cp4F4g9cJ21Ll8Z+a2m0txz4Su2dP2T+Odje9wO+p2CiVzrvnH5jP78GxO3jjJh1s+5IcD\nP8hNt2zsi11fEBxmjHP2cvdiZOORiVosxyw7yr7zNwHjRt3UZ+tQqmDuTK2Ti7MTLzZ9xNyetfWs\nzc+QrdbNiJh7x3gKkZ2cu3aXVYcucyLoNkMXHeBk0IP7f4UEmyJH0lrzg98Z+v/sb2kZ0ngWXYd7\nsYQlVSt7VWZO2zn3vY5gevgUzkOlosbEBpExcfgHhNGpfCdz/4ITCzK9Dg+yecfmcemOMclPfrf8\nDKg1IE3l/E4Ec9uygHhpLw/qPVLwvs7f/1EfJvWoiZPlt1XgtTB6TN/GqQx8+UfFxLHtzFUmrjpG\nm28202TiBj746xCrjwQlas28eieKUUsO0+abzfxz+LJDfpAPqDmAl6q9ZG6vOruKsTvGmnX5fNfn\n5np2hdwL8X7D97O8jsl5tsqzrOi6grHNxlIiTwmH1aNaoWos6LiARsUamWl+F/x4duWzBNwMcFi9\nHOHI1SN8teerRGnT9k/jk+2fEBPnuJZ8YdumC5tYeiZhrPzIxiPxck+YZf3Xnef5bdd5c/uDdpVp\nWj59yyXdr2fql8HD0np6/MptswdTUknHblp3BxYiO5r571niJ8J/tKI31Uo4rqdQRkmwKXKciOhY\nhi46wOf/HMf4LRxHoTJ/4+S1zsxTt0hdfmrzE4U80j5DXkZZd6X958gVevv2Nrc3nN/AlbtXbBV7\n6F0Nv5po7cQ3a72Z5u6Zf+1NmIW2a+2SGRo71LN+aX54vh6uLsbXZtCtSHr+bzv7L9xM8zEu3Qxn\n/s5zvPqzP3U+XcOzM3byv80Bidb2jFeqoAfF8rmb2wFX7zJg3l66/7AN/8Dr930d90MpxdB6Q+lV\nqZeZ9uepP5nkPwm/C34sD0joBuno7rPZmZe7F9OfnM6LVV800wJvBdJnZR/WnVuXQsmc43bUbYZv\nGm4GlfHLxIDxmRq8cTBh0fbtNSDuX2hkKGO2jzG325Vtx5OPPGlu7zl3g9HLDpvbXWqX4JXm5bKs\nfvlz56JHvVLm9uytgTbzuTm7SeumeGBcvRPJIv8L5vaAx8o7sDYZJ8GmyHQHLtzkw8WHmLrhFPvO\n3yAmE7sDBt2K4Jkfd1gtdRFLqYrLifLcbOZpVrIZ05+cTj7XfJlWD1vaWC2BsuFYMGXy+pjLLMTq\nWBlHYsOVu1cYuWWkuWSET34fevr2TFPZm2FRbDyRsLxFl3R2obWlTbVizOnXAE9XZ8s5onl2xg62\nnLpqM39kTCxbT19l/MqjPPn1Jpp9toGPFh9m7dEg7iaZ2dbV2YlHK3ozskMV1g19jH9HPI7fuy15\nv11l8ronTGCz9/xNekzfzms/+3M6OOtmMlZK8VHjj+jkk9Ai/8vRXxi+KWFMZwefDomW9hH3cnFy\nYXiD4XzR4gvcnY2bCWExYQzxG8L0A9MdXLvMpbXmk+2fcPGOMY7aM5cnf3T+I9FnatPFTfRf099c\np1U41oSdExL1Wviw0YfmvuBbEbwxbw/RsUbzS5Xi+fisW027TwiUmpealTX/ve5YEOeu2V5iSFo3\nxYPi522BRMYYv5VrlMxP0/JZ1zCSGVRau2QppfIALSyPMoA3EA4EA/uBjVrro5lUz2yhfv362t/f\n39HVeGDcjojmy9Un+HnHOaw/ZnndXWjiU4jmFb1pVsEbH29Pu/zndODCTV77xZ+gW5bJW1Q0Faov\nJSgm4T1rU7YNE5tPJJez7XUWM5PWmke/2MjFG8bMqHP6NSDKbT/DNhkT3Xh7eLOm+xqH1C27CYsO\nY9bhWcw9MpeI2IS7zz+0/oHmJZun6Rjzd57jo8XGHfdapfKzdFDayqXFwYs3eXHWLm6EGRPluDo7\n8W3v2rSrUZyLN8LwOxGC34kQtp25SlgKy6WU9vKgZaUitPQtTJPyhcjtantW1Bt3o/h+42l+3n6O\nKKubNc5OimcalGZwq4oUsWoFzUwxcTGM2DyCtefWJkov5F6IJV2WZPl4yAfZiesnGLxxsBl8Acxt\nO5e6ReumUOrB9fvJ3/l0+6fm9hctvqBduXZorflu33fMPDTT3Fcmbxmmt55O6XylHVFVAaw7t44h\nfkPM7e8e/47HyzwOGMMAnp2xA/9zNwAokDsXywc1p7RX5o7TTM6Ls3ax6WQIAC83K8fHnarazDf/\n2Hw+2/UZYPyf+3e3v3F3yZrvTiHS4m5kDE0/22DOfD/12Tp0rOm4ISDJUUrt0VrXT1Pe1IJNpVRj\n4E2gB+AGJBcVaOAE8AMwR2v94I5kTYYEm2n3z+ErjFl2hCs2FlpOqkR+d5pV8KZ5RW+alvemcF63\ndJ9v6f5LjPjjoHknyNk5isq1/uR8+AEzT/eK3RnVeBTOTpk3O15qxq04yswtZwHo07AMnz5dmbZ/\ntDUXmJ/UYhJty7VN6RA5WpyOY9mZZXy39ztCwkMS7XuuynPpGgvY44dt5g+hMZ2q8lIz+3btOh18\nh74/7eRyqPEZd1JQ1tuTgBDbd9XBWFKlUTkvWvoaAWZ6b7RcuB7GV2tOsCTJrIseuZx5tYUPr7Xw\nIY+b/ZfxSCo6Npq3N77NlktbzLTJj0+mVZlWmX7unCY0MpTBGwfjH2T839KydEumPDHFwbWyvxPX\nT/DcqufMZSd6VOrB6CajE+X57fhvTNw50VzeyMvdi2mtplHNu1qW1/dhdz3iOl2XdjVbmDuX78z4\n5uPN/aOWHOYXy9qWTgrmvtyQRyumvqxUZtl0MoQXZ+0CII+bC9s/eIK87vfeuI2MjaT9n+3N/3Pf\na/Aez1d9PlPqFBwWzP8O/I+9wXt5rspz9KjUI1POkx1duB7GjbAoapaSm4/pNWvLWT5dYbTdlfHK\nzcbhLXF2ytreAmlhl2BTKVUJ+BLogBFIbga2AruBK8B1wAMoBFQGmgCtgBLAVWA08D+tc87c7hJs\npu5yaDgfLz3C2qNBidIfrehNkbzubD19NdUAtHKxvEbwWcGbhuW88Ezhx3NcnOartSf4fuMZMy2f\nZzSPVP2VwDvHzLR+1foxpN6QLO/ek5R/4HV6TN8OgHceV3Z+2JofD05n2oFpgDGWdG67uY6sosP4\nX/Hni91fcOz6sUTpVbyq8G6Dd80ux2lx/loYLSZtBIzWv50ftsI7T/pvYqTm0s1w+s7cScDV5APM\nMl65aelb2Gi99PHGwzXjNzsOXQxl4t/H2HYm8WQY3nlceadVRXo3LEMu58wdJRERE8G7m9/F74If\nz1d53mFrauYEATcD6LK0i7m9tMtSfAr4OLBG9hUWHUbvlb05G2rcaKtQoAK/tv+VmZsvsvFEMC80\nKcvTlm7u68+t571/3zODUg8XD7567CseLfWow+r/MBrmN4w159YAUMSjCH91+csci71o9wVG/Jmw\nbu0H7SrzuoPHlGmtaf31Js5YbvaN7lSVfsncYPz12K9M3DURyJzWzdtRt5l9eDa/HP3F7JmjUCzo\nuICqhWy3uOYkS/dfYtiiA8TEaUZ2qEL/R3POd1lmi46No+UkP3Nt8LFPV6dv40dSKeUY9go2o4AQ\nYDIwT2t92WbGxGUU8CTwOvA0MFJrPTGtFc/uJNhMXmyc5uftgXy5+kSisWjeeVz5uFM1OtUsjlIK\nrTVnQu6y9fRVtpy+yo4z17idwjqCLk6KumUKml1ua5XKj4vlR/SdyBgGL9jPumMJgW3ZIjHkKTub\nc7cTgs936r7DK9VfcXigCUZw3HDCenMtskWvN6Fc0Vie+uMpYrTxOvzZ+U8qFazkyGpmqQu3LvD1\nnq9Zdz7xBCmFPQrzdt236Vy+M04qfYHTlPWn+GrtSQCeqFyEWS+lPVBNr2t3Inlx9i4OX7oFGK2X\njX0K0bKSEWCWs1M38aS01mw6GcJnfx/n+JXEHUnKeXsyoo0vbasXy9TPvdaaiNiITF+v8mHw1oa3\n8LvgB0DXCl35tNmnKRd4gIzcMtKczdTDxYMFHRZw5j9PXv054f/TXvVL8Unn6ni4OrMveB+D1g/i\nVpTxN+WsnBnTdAxPV3jaIfV/2Gy5tIU31r1hbk9rNc0M9vdfuEmv6dvN7vwdahZnap862eL/13k7\nzjFyiTF04pFCudk4rCVONlqEMqt1Myo2ioUnFvLjwR+5GXnvxHF1itRhbtu52eK1yiy/bA/k42VH\nzKFTbi5OrBv6mMO6Vz9oFu+7yJCFRo+8Qp6ubH3/iUxdqzYj7BVsDgF+0Frf13RdSqnaQDGt9T/3\nUz47kmDTtiP/hfLhX4c4cDE0UXqfhqV5v20V8udOfgxiTGwcBy+FsvWUEXzuPX/DnGzAljxuLjT2\nKURjHy9+97+YaBbPJr5wI99ULlmNf/qo0Uf0rtzb1qEc5sPFh/h1pzFN/CvNyzGqY1WGbxrO6sDV\nAPSq1ItRTUY5sopZ4nbUbX48+CPzj80nOi7aTHdzduOlai/xcvWXyZ0r/f9Baa1p9dUms7Xxuz51\n6Fwrc8c7hEfF8vfhyxT0dKVxuUJ2ab1Mq9g4zeJ9l/h6zQn+C038dV2nTAE+bF+FBmW9kiktsot9\nwft44e8XAGMSodXdV1MkdxEH1yrjlp1ZxkdbPjK3xzYbS9tHOtH6603m+PV4vkXz8v1zdalQJA8B\nNwN4Y90b/Hc3ocv4oNqDeK3mazn6x7qjxcbF0nNFT07dOAVAl/JdGNd8HAAhtyPpNGWL2TupcrG8\n/PVm02THmme1sKgYGk9Yzy3LclczX6hP66pFbea1Z+tmnI5j1dlVTN031VyiK55vQV/OhJ4xZ1/+\n7NHP6ODT4b7Ok51prZm64bR5k9da6ypFmPli5t3wzSm01rT79l/z5vGwJyvxVquKDq5V8tITbCbb\nXKC1/uZ+A01L+f05KdAU9wqLimHCqmN0nro1UaBZoUgeFr3ehIndaqYYaIKxKHPdMgV5q1VFFr7e\nhIFhkgMAACAASURBVP0fP8Xsfg3o37wclYvlvSf/ncgY1h0LYtzKY4kCzWeauhLk+bUZaDorZyY+\nOjHbBZpgzGga75/DV9Ba84zvM2ba8oDlOXqh95i4GBYeX0iHvzow58icRIFmB58OrOi6gkF1Bt1X\noAlw8GKoGWjmcXPhySq2f2zYk4erM93qluJx3yJZGmiC0U24R71SbBh+78y1+87fpOf07bz6sz+n\ng3PuZyonqFOkDrUL1waMv5F5x+Y5uEYZFxAawLgd48ztTj6d6FK+C9M3nTEDTRerlqcTQbfpPHUL\nS/dfwqeAD7+0/wXfgr7m/qn7pzJ2x1hZizMTrQhYYQaaHi4eDK43GDC69w38da8ZaOZzd+F/fetl\nm0ATILerC30alTG3Z287m2ze7pW6mzdzroZf5feTv9/XObdd2sYzK57hg38/SBRolsxTks8e/YxF\nnRbxfJWEVtOv93yd45b20VozfuWxRIGmb9G8xN8TWncs+J6hVeJefidDzEAzt6szfZtkz+6z90OW\nPhH3ZeOJYJ76ZjM/bg4g1rLqrKuzE0OfrMTKt5vTsFxCS8rd6LtsOL+B9efXc/rGaXMsji2ebi48\n7luEkR2r8s/gFuz+qDXf9q5Nr/qlKJH/3ruOrs5ODOngzrawTwmxdIlxdXJl8uOT6ejT0c5XbR9N\nfAqZAcGlm+Ec+e8W9YvWp0KBCgCEx4Sz7MwyR1Yx02y9tJWey3sybuc4bkTeMNNrFa7F/Pbz+ezR\nzyjmWSyFI6QuYdkbaFu9WJYHf47insuZAY+VZ/O7j9O/eTlcrcZsrj0axFPfbOaDvw4RnIZJu4Rj\n9Kvez/z37yd+f6BvOkXERPDupncJjzGCyrL5yjKy8Ugu3gjnB7+EYQ5jOlfjs241zPVrw6JieWfB\nfj746xD5chViTts5NCreyMz/+8nfGeI3xDyusJ/I2Eim7p9qbr9Y7UW8PbwBGL/yGLvOGpMFKWX0\nGHmkkKdD6pmSF5qUNSdT2Xr6Gsev3LKZz83Zjf41+pvbsw7PSte6m0euHeHVNa/y+rrXOX79uJle\nwK0A7zV4j2VPL6ODTweclBOv13ydQu7G0hXBYcGJZl1+0MXExjHij4PmxIcAzSt489ebTendIGEm\n6THLjhCewszsAv63KeF7sXeDMhTI7erA2thXmpc+EdKNFiD4dgSfLj/KioOJh/A29vFiQtca+BTO\nkyh9T9AePvj3Ay7fTcivUBTzLEaZfGV4JO8jxnM+47l0ntLJLv2htebs1YTxnmFRsbStf5fvDn9A\nWIxxpzC3S26mPDGFhsUb2vnK7WvIwv1mUPTWExUY9pQvC48vZNxOoxWgXP5yLO2yNMd0Fwu4GcAk\n/0mJZi8FKO5ZnKH1htKmbBu7XGt0bByNJ6zn2t0oAOb3b0SzCt4ZPu6DKLmZawvndWPZoGYUzy/j\nLLObOB1HlyVdCLwVCMDQekMTBaAPkrHbx7Lo5CLAuAH4a4df8fXypf9cf3OcffWS+Vg6sDnOToqj\n/91i4K97OWs12VaV4vmY9lxdShV0ZdS2UawMWGnuq1m4JlOfmEpB94JZe2E52OzDs/l6z9eAMRPw\nqm6r8MzlyZ97LjLs94SZ3d9t48vAxys4qpqpenP+HlYdugJA7wal+ax7TZv5ImMjaf9Xe4LDjBvV\nIxqMoG/Vvike+8LtC0zZN4W/z/6dKN3d2Z2+VfvSr3o/8rre2ytryekljNpqDI9xdXJlydNLKJ33\nwV7WJzImlnd+288/R66YaW2rFePbPrVxc3Hmxt0onvjKz1wibNDjFRjexje5wz3U9l+4ydPfbwWM\n3h6bRjxOyQL/Z++8o6K42jj8DL2D0hREsaBiF7H3mhh7b9HYNdGoMWo0pmgSv0SNRo299957NzZU\nxC6KgoggioiF3ne+PwZmWSmCLH2fc/bAnZ2ZvQu7M/dtvzd/36PV2vrkgxPXA34AagGlgLTyJ0RR\nFPNPXoUaKcrGpkIhsv16AH8deyjXQ4DUW2v6F870rFNKxViIV8Sz7PYy1txfgyILgsRaghYljUtK\nxqep0ggtY1YGOxM7dLWUhuh/Af/x/X/fE6eQDAtzfXOWt1lONatqanjHOcvx+y8ZvfkmAE42Jpya\n2JzI+Eha72pNZLy02FrVbhUNSjbIy2lmm3cx71h6eym7Hu8iUVR6NY10jBhefTgDqwxUqwrgOa9g\nhqy/DoCtmT5uU1vnS8nw3OR+oKRce9lHqVw7vElZfupY+FURCyJ7Hu9hxpUZgKQCerzH8QLXe/eE\n3wkmnZ8kj39u8DO9K/VW+X4C7P2mES6llcZieEw80/beU3Fmmujr8FeP6nxRvQQLby5k7f218nNl\nzMqwvM1ySpmWyuF3VPgJjQ2l/d72cjQ9We/g3vNQei53k9uKta9WgqUDXPK1IzSl6ru+jhZXprWm\nuHHaUaJtXtv437X/ARnXbr6NecvKuyvZ8WiHShq3tqBNN6dufF3z6wxrrBWigi+Pfsm9kHsAtHJo\nxcJWCz/5PeY1EbEJjNrkoXJf6e1aiv91qy6LOALsuO7PD3uk96ynrcXxCU1TBSU0wNebb3DsvmS0\nd69tz/w+tfJ4Rh8nK8Zmpo1CQRB6AtuRUm/9AHdAUzhRBPAJDmfa3ntc93unsr17bXumd3DG8oOW\nEv5h/ky9OFW+qAKY6ZlRzaoaz8Ke8TLyZboGqEJUEBgRSGBEIG64qTynLWhjb2KPg5kDNoY2HHxy\nUDZgrA2tWdl2JRWK5V9va0qaVbTGQFeLmHgF3sERPHkdQXlrEzqV68T2R9sB2OG1o8Aam/GJ8Wz1\n2sqKuytUUgEFBLo5dePb2t/K6VnqZG+KFNquteyLvKEJUM3enM3D6rPrxnOm7JbaFezwCOC7thUz\nbCukIW/oWL4ji28vJiQ6hODoYI48PVKgVFgDwgOY4TZDHrct05ZeFXsRm5DIzEOe8vberqVUDE0A\nUwNd/u1Xm/rlLPn90APiEhVExCYwdustBjUsw/QO47AxsmG2+2xERJ6FPePLo1+ytM3SItFSIidZ\ndXeVfK0uY1aGHhV78CYiltGbb8iGppONCXN71czXhiZAnTLFqG5vzr3AUGITFGxz9083EtvDqQer\n760mOCqYkOgQdj7ayaCqg+Tno+Kj2PRgE+s818mO4GRal27NOJdxlDP/eGsPLUGLqfWmMuDoAADO\nBpzF7YUbjewaZeOd5g3vIuMYvP46dwKUirsjmpblxy+cU302etVxYMf1AG76vycuUcGvBz3ZOLRe\nvv8M5Sa+ryNUosMjmxe+VjGZjmwKgnAfcAA6iKJ46WP7F0aKWmQzJj6Rped8WHb+iYpCbBlLI2Z1\nrU4TJ1VjQRRF9vvs50/3P1XqaeqVqMesJrPkWry4xDieRzzHP8yfZ2HPpJ/h0s+gyCC5oXdmKWVS\nipXtVha4lJRRmzw44Smlk035vBLftKjAk/dP6HpAWlhqC9oc73E82zWM6iZeEU90QjTR8dHEJMZI\nvyeNoxOieRPzhg2eG/AP91c5rl6JekyuO5nKxSvnyLzCY+Jx/eO0vDA6Nr4pziXNcuS1CiIKhUir\nef/h90ZKOf+jazW+zKf9u4o6q++tZuFNKepR3rw8e7vszXL7n7wgPjGegccG4vlGMirtTezZ2Wkn\nZnpmLD7rzd8nJQERMwMdzk5qkWHv2/uBoXyz5Sb+b5ViKtXszVjavw6PIi4z9cJUOavFSMeI+S3m\n09i+cQ6+u8LLi4gXdNzXURZrm9d8Hq0c2jBwjTtXfKXIlamBDgfHNqGsVf6r00yLlC0kbM30ufRD\nq3R7D2/32s6sa7MAsDSw5FiPY+ho6bDPex/L7iwjJDpEZf/aNrWZWGcitWyyHn2afmm6rMlQzrwc\nuzvvVsnYyu+8Coth4JprPH4VIW+b/FklvmlRPl0D0vNFKJ3+vUSSvAdL+rvQoUbJ3JhugWDa3nts\nc5fWSy0rWbNuSP4uA0smR9JoBUGIAdaLojg6O5MryBQlY9PtSQg/7buv0qxeR0tgVPNyfNvKKVXf\nn9DYUGZemcmpZ6dS7K/DuNrj+KrqV5leKMUmxhIQFiAbn8/CnuEfLv1MrqtISQWLCqxsuxJrI+tP\nfKd5x96bz5m4U7oZ1ixlzoGxTQAYdmIY7kHuAIysMZJva3+bY3PweefDGf8zhMWFKY3GhGhiEmJU\nxlEJUfLvWVWCLG1amu9dv6elQ8sc9WbuvvGcSUl1RZVLmHJ8QrMce62CytpLT/nt8ANAilKc/K6Z\nxsOcDwmLC6PtrrZyLfriVotp7tA8j2f1ceZcn8OmB5sA6fq/qf0mqllVI/B9NK3n/UdMvOQImtm5\nKl81cvzo+cJi4vlh9105vQwko2duzxrYWL/k27Pfyr04dQQdZjaeSefyndX/xgo5P178kUO+hwCo\nYVWDzV9sZtaRh7LoiyDAmq9caVU555W91UVcgoLGs8/yOlwSJFzYtxZdatmnvW9iHO33tpfXGB3L\ndeR+yH25djqZcublmOAygRYOLT75uvk66jWd9neSo6Tq6vGZGzx7E8mA1ddkJWlBgN+6VGNgJpyW\nMw56st7ND4ASZgac/r45JprMGoLDY2gy+xxxSU7y7SMb0KCcZR7PKnPkSBotEATEf3QvDQWad5Fx\nzDr6kN03nqtsdyltwZ/da1ApjXYk7i/dmXZpmoox6GjmyOxms7Oc2qSvrU+FYhXSTIeNio8iIDxA\nNj4BelfqjZlewYxeta5si46WQIJC5M7zUF68j8bOwpC+lfvKxuaex3sYXWO02mu2ohOiWXZ7GRsf\nbFSppVQnpnqmjK4xmn6V++VKzdm+W8rPbLfaaS8qijo9XUvx98lHRMUl4h0cgduTN0VWQCk/Y6Zn\nRq+KvdjwYAMgKWXmd2PznP852dAE+M7lO7l+/o/DD2RD07mkGQNStKfICDMDXZYOcGGDmx+zjj4k\nPlEkPCaB0ZtvMqSxI2varefbc98QFBlEgpjA9EvTeRX5iuHVh2ucKJnE660Xh30Py+Pv6nzHCc9X\nKuqi37WpWKAMTQA9HS2+rF+Gf05L0fR1l/3SNTb1tPUYUX2EHN1M+fcAqXZ6TO0xdC7fGR2t7BlI\n1kbWjKoxShZiWnp7KV+U+4LiBvm7F/LDl2EMWusuG+86WgLzetdM92/6IRPbVeTw3ZeERMQSFBbD\nwtOPmd5Bk/q+/rKfbGjWcrCgftn8/Tn4VLKSl7MLaCsIQuHR4tWggiiKfLXOXcXQNNXX4Y+u1dg9\nulEqQzM+MZ75N+Yz/ORwFUOzd8Xe7Oy0U+01NEa6RlQqXom2ZdoyvPpwhlcfXmANTQBzI10alld6\nsE4m5ey3dGiJjaEkNPAm5g2n/U+r9XUvB16m24FurPNc90mGppaghbGuMVaGVpQyKYVTMSdqWNeg\nfsn6tHBoQfuy7fmm5jcc6XaEQVUH5YqhGRQag9sTKd1LEKBzLbscf82CiJmBLj3rKMVUkj3NGvIf\nX1b5Eh1BWtjeDL7J7eDbeTyj9AmKDOJnt5/lcfNSzWVVz4ver1Uik791qaoiIPIxBEFgcOOy7B7d\niFLFlOqM6y778cP2YOY0XEXFYhXl7YtuLWLWtVnEJcZl5y0VGf658Y9cutKiVAtKGlRlym6l8mzb\nKraMzcfKsxkxoEFpuQXU7YD33PR/l+6+3Z26Y2ukalCb6poy3mU8h7sfprtT92wbmsl86fwlZcyk\naGB4fDiLbi5Sy3lzihvP3tFnxRXZ0NTX0WLloDqZNjRBuvdM76AsoVl72Y9HQQW3tZM6iIhNYNPV\nZ/J4dPNyhdZJlpVvzq9AU2CnIAjjRVF89rEDNBQsBEFgfGsnhm2QUoU7VC/Jr52qYGOWWpnNN9SX\nqRem8vDtQ3lbMf1izGw0k5alW+banAs6n1UtwUVvqR7kuGcQgxuXRUdLh56VerL09lJAqidpX7Z9\ntl/rTfQb5lyfw9GnR1W2u9q60qxUMwx1DD/+0DVET0sv310QD94JJLkioGE5S01bjwwY1NCRjVek\ny/eZh68IeBuFQ3GjPJ5VweKW/zteh8fSoLwlZgY540wpYVyCL8p9Idd3rfdczwKbBTnyWtkhQZHA\nlAtTCI0NBcDWyJY/Gv+BIAjEJUiCIMl0r21PXcdP89zXdLDgyLdNmbT7jtwg/k7Ae75aFcEf3edw\nUP9PrgVdA2DHox24B7nzS4NfcC2RqSyvIsmVF1dweyEJ8WkJWoytNY4J22/JivP2Fob83asmWgVU\naM3KRJ/OtexkB/q6y36pRKmS0dPWY5LrJCZfmIyuli79KvdjRPURWBhYqH1eutq6TKk7hTFnxgCw\n13svvSv1zpciVxcev2bUphtEx0uOaVN9HdYMrqvSSz2zdK1lz3b3AK49fUuiQuTnA/fZMbJBvltP\n5BbbrvkTnvRdK2tlTNsq+UufQ51ktfVJDeAcYAG8B0LT2E0URbG8eqaXvygqNZszD3nSpIIVrZ1T\np82Iosiux7uYe30uMYnKBsiN7BrxR+M/CmTtZF4SHBZD/T/PIIqgJYDHT20pbqzH66jXtNvdjgRR\nuhDt7rSbSsU/rT+VKIrs89nHPI95cn0TSKl6k1wn0bVC1wJ/sf98wQW8krykc3vWoJdrwRKLym0G\nrrkmOzlGNivHj1845/GMJKLjEpl93AtRFPm2tVOGAjJ5QVyCgv8dfShHhHW1BRqUs6RtFVvaONti\np+a+aN7vvOl+sDsgKTkf7HoQR3NHtb5Gdll0cxGr7q0CJFGztZ+txcXWBYDl55/w1zGp4b2Jvg5n\nJzXHxjR7rY5EUWTNpaf8dcyLBIVy/TK0iQPhpps57qfa/7BbhW5MrDMxR4yGgoxCVND3cF/ZYdzd\nqTvmkQNYdMYbAG0tgZ2jGlCnTMFO6/N8EUqHRZKmpY6WwMUfWmbojHwZ8RIjXSPM9c1zfG7fnP6G\ni4EXAUl0aMPnG/LVvfjovZeM335LFoi0NNZjw9B6VLP/9L+N96tw2i+8KH935/euSXeXote6KC5B\nQbM55wgKk9bRf3avTr96mSsvyC9kpWYz07ksgiA0AdyAYkAiEAUIaTzyv2Sehgz5tVPVNA3NtzFv\nGXduHL9f/V02NHW1JA/dsjbLNIbmJ2BjZiB7WhUinE7y2FsbWdOmTBt5v+R2KFnlaehThp4Yyq9u\nv6oYmh3KdeBg14N0c+qWr25un8LDl2Gyoamvo8Xn1Qqvd1BdDE4hzrLjegDRcTlTt5tV5p54xHo3\nPzZceUb7hRe55B3y8YNyicD30fRecUUl9Tg+UeSidwi/HPCk0V9n6fjvRRacfozni1Cy4shND6di\nTjQrJQldiYhyDWd+wS3QjdX3VsvjMbXGyIZmUGiMbLgATGjjlG1DE6QMnOFNy7FzdEPszJXnW3sp\nAB/PTnxT/XuMdZWKqft89tF5f2cOPTmklv9JYeHo06OyoWmgbUCDYv1YfFb5//qujVOBNzQBqtqZ\ny3VwCQqRTVcyTsoraVJSrYbmw5dhzDv5CO9XqVNGp9SdIqfm3gq+lSrrKC/Zcd2fsVtvyoamnbkB\nu0Y3zJahCeBka8qwJmXl8f+OPiQ0uujJwRy4HSgbmlYm+oVeZyIrhuFsQBcYBBiIouggimLZtB45\nM1UNeYlboBs9Dvbgv4D/5G0VLCqwrcM2BlYZWCBk+fMrn1dVGkcpey31rdxX/v2I7xGVfpUfIy4x\njmV3ltHjYA88Ximj8fYm9ixvs5y/mv6FpWHBUDz7GPtvK3trtq1ii2kOpTUWJlpUsqF0UupsaHS8\nyt8wr3gZGs3ma8qF4OvwWAauvcbcE17EJ6bdlze3+O9RMB0XXeR2ir5y9mlEMe8HhrHgtDcdFl2i\nyexzzDjoyWWfkGzNf3DVwfLvB30OpmrDkFe8jnrNtEvT5Hq/hiUbMqz6MPn5WUcfEpXkxKhoa5Ip\n9dms4FK6GEfGNaVVZRt52y3/MFYetmNK1TW0Ka101r2LfcePl35kxMkR+IX6qXUeWSVRkSilrwa6\n5ZnxG5cYx+Jbi+VxL6f+zNwXKLemaFjOkq9bFMw6zbQYmsK42ebun2vOtet+b+m+1I1/z/rQd+VV\nQqNUjSpHc0cGOg+Ux/NvzCcqPurD0+Q6Ky884Yc99+TPQzlrY3Z/3Yhy1iZqOf+41k6UTHIUhUTE\nMf/kI7Wct6CgUIisvOArj4c2cUzV4aGwkRULoSawTRTFzaIo5u2dX0OuEZsYy5zrcxh1epTKIqd/\n5f5s67Dtk1M7NSj5LIWxeck7hIhYKXXWxcaFChbSDT86IVqu3foYN17doOchqeYzuW+atqDNkGpD\n2NdlX6HqRZeoEDlw64U87u5SuL2D6kJbS2BQQ6Vc/frLfnke9fn3rI+sypeMKMKSc0/os+IKz9/l\n/iIsUSEy/9Rjhqy/zrukhaK2lsBPHZy59ENL3Ka24vcuVWnqZIWutmqGQOD7aNa7+TFg9TVcfj/F\nuG23OHTnBeExWfPiu9q6Ut2qOgBxiji2PtyqnjeXDRIViUy7OI23MW8BqTfh/5r+T3Y6uj0J4dAd\n5fdyZudq6fY4zA7FjPVYPciVqe0ro51UV/guKp6J2/xobPY9i1ouUulTfC3oGj0O9mD5neW5LiD0\nPuY9a+6tof3e9ow8NZJRp0cx+/rsPPnebffaTmCE5GCy0LfggZeLHGUpZqTLgr615L9nYaCNsy0O\nxSXn0Luo3HGu3Ql4z5B11+VaxzeRccw/ldqoGlljJJYGkuM3OCpYJVMgtxFFkTnHvfjfUS95WzV7\nM3aNaqjWEgFjfR1+7qisT9109Rn3A9OqyiucnPUKxjtY6lNqoq/DgPqFv991Vq7+EcDbnJqIhvyH\nzzsf+h/pryJnX9ygOEtaL2Fa/WkY6GQ/JUoDlLY0wrmkpKobl6jgnJek7CsIAv0q95P32+61PcOF\nSWhsKDPcZjD4+GCehipl66tbVWdHxx1MrDMRQ53CJZxzzfeNvEgqbqxHUydNKndm6eXqgGGSN/XR\nq3Cu+ubd5d3/TRQ7rwfI4/m9a9IkRUuWm/7v+WLhRY7de5lrcwqJiOWrte4sOuMti0/ZmumzfWQD\nhjeVVAPtLAwZ2NCRTcPqc+Pntvzbrzada9phaqCqvRcek8DBOy/4dtstXH4/xcA119h4xY8X76M/\nOg9BEBhSbYg83v5ou9yjL69YfW+1LMYjIPBn0z+xMpT+X/GJCmakEAXqVNNORXVb3WhpCYxuXp7t\nIxtQIoWY3Q977pIQUYUDXQ4wqMog2RCOU8Sx5PYSeh7qiUdQzmswPHzzkJ8v/0yb3W1YcHMBLyOV\nn+EtD7ew5v6aHJ9DSsLiwlh5b6U8rm3ai/8eRsjjv3vVxDYNUcCCjLaWwFcNHeXxustPc9TIT24T\nkuw4TmbT1Wc8fBmmss1Ez4QJdSbI4w2eGwgIDyC3SVSI/LT/Pkv/eyJvq1e2ONtGNMAyB2rn21cr\nQVMn6ZqhEOGn/fdRKIpGmvuKC8q/cf/6pTE3LPzZWFkxNo8C+bvRlwa1IIoiWx9upe+Rvjx+91je\n3qxUM/Z23ivXEGlQH+ml0nYs1xETXSl1xS/Mj6svr6Y6VhRFjj89Tpf9XdjjvUfebqRjxNR6U9nU\nflOhjUDvu6X0UHeqUTJHoieFFXNDXZVI8Hq3pxnsnbMsOPNYFoyoX7Y43Wrbs3FoPaZ8XkmOsITF\nJPD1lptM33ePmPicTYPz8HtLx0WXuOSjzOZoXMGSI+OapqumamagS6eadizqV5ubP7dly/D6DG7k\nmCrdNq06z4WnvTOs82zl0IrSppJ4RHhcOHse70lzv9zAI8iDpXeWyuMRNUbQ0K6hPN7g5sfjV5Lx\nYqSnzfRcEp+q61icI+OayI67RIXImK03ueMfzeS6k9neYTtVLavK+z8NfcqQE0P45fIvvI95n95p\nP4n4xHiOPT3GwKMD6X24N/t99hObGCs/n7KFxsKbC9nrvVetr58Ra+6tUSoHG9px/IoyxXRIY8c0\n9RoKA73rOmCsJznXHr+K4LLPmxx5HZ/gCAauuSbXIRYz0qWmgyROpRDh14Oeqb7nnct3Vsle+Pv6\n3zkyt/SIS1Awfvsttlzzl7e1rmzDxqH1cqwsRRAEfutSTaU1zQ6P3Deyc5sbz95y3U9qwaOrLTC0\ncdGoPMzKymwqYCYIwhJBEIw/ureGAklUfBRjz47lT/c/5ZujvrY+0+tPZ3GrxYWmzi+/kVLU5j+v\nYHkxbaRrROfyneXndjzaoXJcYEQg35z5hskXJvMmRnnzbOnQkgNdDzDAeQDaWoWzFiA6LlGlf1+3\nIqhol11SCgWdevAqT1JVfYLD2Z/CafB9u0oIgoCWlsA3LSqwc1RDFYNtyzV/uiy+nKbgRnYRRZHV\nF33pu/KqHDEXBBjXqgIbh9bPtDqurrYWjStYMaNzVS790JIj45owoY0T1exT9wW+HxjGP6cf02HR\nJfqvupZmmq22ljZfVf1KHm98sFFOkc9N3sa85YcLP6BIqqRxsXHh65pfy88Hh8Ww4LRSZGZcaydK\nmOdelMzSRJ8NQ+tSxlKqR45LUDBiowf3A0NxtnRmyxdbmFpvao4JCL2Oes2y28tot6cdUy5M4fZr\n1d6oVSyr8EfjP7jY5yL1S9SXt8+8MpNz/uey9dqZISgyiC0Pt8jjqFftiEuQloFV7cyY2r5yeocW\neD7sMbzusvqdawFvo/hy9TVCIqQUbVMDHTYNq8+8XjXQSXKauT99y6G7qhkaWoIWU+tNlcdnA87K\nLWlyGlEU+X7XHQ6nmFPXWnYsH1gnx+sIy1oZM7p5OXk8+7gXbyMLd3/c5eeVtZpda9nn6vUxL8mK\nsbkdCAdGA0GCINwQBOFsGo8zOTNVDbnBrGuzuPD8gjyuVKwSOzruoG/lvgVetTQ/U9HWBMekBVJk\nXCKXU0RU+lTqI/9+LuAcQZFBJCgS2OC5gW4HunEp8JL8vI2hDQtaLGBRK9VapdwkMjYhVwQY5vfz\nSwAAIABJREFUTj98JacplbUypmapnJeqL2w42ZrSuILkQFKIsPmq/0eOUD//nPaWhSiaVbRO1b+t\nTpliHB3flC+qKz/Pj16F02nxJba7+6stHS4sJp7Rm2/wx5GHcpTVwkiXdYPrMrFdpU+uYRMEgap2\n5kxoU5HD3zbFbWorfkuq89T54JxXfN8wZuutNAWFOpfvTHED6W/zKuoVx58e/6T5fCoKUcH0S9MJ\njpbS/C30LZjdbLZKlO6vY17yd7K8tXGeeO1tTA3YPKw+NqaSYyAiNoGv1rrj+zoCbS1tBjgPYH+X\n/WoTEBJFkdvBt5lyYQrtdrdj6Z2lKvoGOlo6dCjXgc1fbGZ7h+10qdAFEz0TFrRcgHNxKeqrEBVM\nvjCZW8G3sv8HyIAlt5fITmQzrbK8CKwISBHof/vVRl+ncDomkxmc4vN4xiuYpyHqS0d/GRpNv1VK\nJ5WRnjbrh9Slmr05FWxMVRx7/zvykMgPUmxrWNegS/ku8ni2++xccSgdvPNCpb56UMMyzO9dK9ey\nhL5pWUGup30fFc+c414fOaLg4hMcIfcIBqntWFEhK5+mFkAtpPYmxkDtpG1pPTQUQI74HlERoRlY\nZSBbO2ylvEWhbJuarxAEgc9SRDePp4jYlbMoJ3vBFaKC+Tfm0/9If/72+JvoBKnmS0Cgb6W+7O+6\nn9ZlWufKnOMSFDx8Gcb+W4HMPu7F0PXXafzXWar+eoK6s05zIIdFGFJGw7rWstc4Qz6RwY2UC7Dt\n1/1zPEU1JZ4vQjmSwqM+qV3FNPczN9RlSX8X/tetOvo60m0rJl7B1L33+HbbLcKyKLqT1jw6/3uJ\nE57KhUBNBwuOjGtKi0o2GRyZdewsDBmUVOd58xepzrNDjZLy8xcev+bn/fdTGdEGOgYMcB4gj9fe\nX5ur4jLL7yxXcWzNajJLxaF13e8te1N8J2d0roqeTt6ktTsUN2LTsPpyLdSbyDgGrnHnZah0vSxh\nXIJ/Wv7Dv63+/WQBoZiEGPZ576PP4T4MPDaQY0+PyX2RQXL8jak1hlM9T/FX07+oaV1T5RplomfC\n0jZLcTCVegLHJsYy5swYfN75qO3vkJLH7x6r3N+DnrYmeQk4s3NVtSmN5mfKWhmrqBdvSNHGKDu8\nDo9lwKprPH8nfb70dLRYPchVpXXM+DbKvsFBYTEsOZf6/zyhzgQ56u4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KN54p5fTbONty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dmZCUnu9jPfxrmoFO6t56VaMMuYImM2JUkKAsYAI4CbppVbb5IAE/A7sBDYJIQwl+pOKwGVLWYz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\nmzQh+OfVxXoeyIqIIHbWh6T+/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Cnwc8O+USNcunfDqWNH7Js0yUk+teV1OPyl/LXOCV7Y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\n2RQREREREZHQKdkUERERERGR0P0/vcpKKs0d1rgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa447438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8))\n",
    "\n",
    "merra2['precAnn'].plot(ax=ax, label='MERRA2', linewidth=3)\n",
    "merra['precAnn'].plot(ax=ax, label='MERRA', linewidth=3)\n",
    "cfsr['precAnn'].plot(ax=ax, label='CFSR', linewidth=3)\n",
    "erai['precAnn'].plot(ax=ax, label='ERA-Interim', linewidth=3)\n",
    "asr['precAnn'].plot(ax=ax, label='ASR', linewidth=3)\n",
    "\n",
    "ax.set_ylim(0.,400.)\n",
    "ax.set_title('Annual Precipitation North of 80 N', fontsize=20)\n",
    "ax.set_ylabel('Annual Precipitation (mm)', fontsize=20)\n",
    "ax.set_xlabel('')\n",
    "ax.tick_params(labelsize=20)\n",
    "\n",
    "ax.legend(fontsize=20, bbox_to_anchor=(0.75, 0.05), loc=3, borderaxespad=0.)\n",
    "\n",
    "fig.savefig(os.path.join(diri,'reanalysis_annual_precipitation_nof80N.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ASR</th>\n",
       "      <th>CFSR</th>\n",
       "      <th>ERAI</th>\n",
       "      <th>MERRA</th>\n",
       "      <th>MERRA2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1979-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>279.399963</td>\n",
       "      <td>201.861237</td>\n",
       "      <td>193.727386</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>308.516968</td>\n",
       "      <td>226.475784</td>\n",
       "      <td>201.231033</td>\n",
       "      <td>317.642975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>323.487488</td>\n",
       "      <td>231.619461</td>\n",
       "      <td>209.965256</td>\n",
       "      <td>330.879517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>320.458191</td>\n",
       "      <td>226.390381</td>\n",
       "      <td>211.091141</td>\n",
       "      <td>325.295288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>340.086487</td>\n",
       "      <td>241.321838</td>\n",
       "      <td>226.546097</td>\n",
       "      <td>342.586487</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ASR        CFSR        ERAI       MERRA      MERRA2\n",
       "time                                                           \n",
       "1979-02-01  NaN  279.399963  201.861237  193.727386         NaN\n",
       "1980-02-01  NaN  308.516968  226.475784  201.231033  317.642975\n",
       "1981-02-01  NaN  323.487488  231.619461  209.965256  330.879517\n",
       "1982-02-01  NaN  320.458191  226.390381  211.091141  325.295288\n",
       "1983-02-01  NaN  340.086487  241.321838  226.546097  342.586487"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame({'MERRA2': merra2['precAnn'].to_series(),\n",
    "                   'MERRA': merra['precAnn'].to_series(),\n",
    "                   'CFSR': cfsr['precAnn'].to_series(),\n",
    "                   'ERAI': erai['precAnn'].to_series(),\n",
    "                   'ASR': asr['precAnn'].to_series()})\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ASR</th>\n",
       "      <th>CFSR</th>\n",
       "      <th>ERAI</th>\n",
       "      <th>MERRA</th>\n",
       "      <th>MERRA2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ASR</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.657505</td>\n",
       "      <td>0.582821</td>\n",
       "      <td>0.774889</td>\n",
       "      <td>0.689037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CFSR</th>\n",
       "      <td>0.657505</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.935584</td>\n",
       "      <td>0.637323</td>\n",
       "      <td>0.946867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERAI</th>\n",
       "      <td>0.582821</td>\n",
       "      <td>0.935584</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.405161</td>\n",
       "      <td>0.858141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MERRA</th>\n",
       "      <td>0.774889</td>\n",
       "      <td>0.637323</td>\n",
       "      <td>0.405161</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.734020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MERRA2</th>\n",
       "      <td>0.689037</td>\n",
       "      <td>0.946867</td>\n",
       "      <td>0.858141</td>\n",
       "      <td>0.734020</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ASR      CFSR      ERAI     MERRA    MERRA2\n",
       "ASR     1.000000  0.657505  0.582821  0.774889  0.689037\n",
       "CFSR    0.657505  1.000000  0.935584  0.637323  0.946867\n",
       "ERAI    0.582821  0.935584  1.000000  0.405161  0.858141\n",
       "MERRA   0.774889  0.637323  0.405161  1.000000  0.734020\n",
       "MERRA2  0.689037  0.946867  0.858141  0.734020  1.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2000':'2012'].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "1979-02-01           NaN\n",
       "1980-02-01           NaN\n",
       "1981-02-01           NaN\n",
       "1982-02-01           NaN\n",
       "1983-02-01           NaN\n",
       "1984-02-01           NaN\n",
       "1985-02-01           NaN\n",
       "1986-02-01           NaN\n",
       "1987-02-01           NaN\n",
       "1988-02-01           NaN\n",
       "1989-02-01           NaN\n",
       "1990-02-01           NaN\n",
       "1991-02-01           NaN\n",
       "1992-02-01           NaN\n",
       "1993-02-01           NaN\n",
       "1994-02-01           NaN\n",
       "1995-02-01           NaN\n",
       "1996-02-01           NaN\n",
       "1997-02-01           NaN\n",
       "1998-02-01           NaN\n",
       "1999-02-01           NaN\n",
       "2000-02-01    271.893280\n",
       "2001-02-01    267.902527\n",
       "2002-02-01    227.242477\n",
       "2003-02-01    225.834213\n",
       "2004-02-01    193.267242\n",
       "2005-02-01    215.971008\n",
       "2006-02-01    254.130630\n",
       "2007-02-01    251.515106\n",
       "2008-02-01    219.998245\n",
       "2009-02-01    237.084091\n",
       "2010-02-01    217.416168\n",
       "2011-02-01    257.128021\n",
       "2012-02-01    279.485016\n",
       "2013-02-01           NaN\n",
       "2014-02-01           NaN\n",
       "2015-02-01           NaN\n",
       "2016-02-01           NaN\n",
       "Freq: AS-FEB, Name: ASR, dtype: float32"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ASR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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